Philip S. Griffin
- Management Science and Operations Research top 2%
- Mathematical Physics top 5%
- Finance top 5%
- Statistics and Probability top 2%
- Artificial Intelligence
- Co-authors
- James KuelbsRoss MallerWilliam E. PruittTerry R. McConnellRichard F. BassDavid M. MasonJ. Theodore CoxHarry Kesten
- Topics
- Probability and Risk Models (27 papers)Stochastic processes and statistical mechanics (25 papers)Stochastic processes and financial applications (11 papers)
- Journals
- Transactions of the American Mathematical SocietyThe Annals of ProbabilityProbability Theory and Related Fields
- Partner nations
- United StatesAustraliaCanada
In The Last Decade
Philip S. Griffin
44 papers receiving 443 citations
Peers
Comparison fields: 5 of 35
- Management Science and Operations Research 305
- Mathematical Physics 290
- Finance 215
- Statistics and Probability 179
- Artificial Intelligence 68
Countries citing papers authored by Philip S. Griffin
This map shows the geographic impact of Philip S. Griffin's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Philip S. Griffin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Philip S. Griffin more than expected).
Fields of papers citing papers by Philip S. Griffin
This network shows the impact of papers produced by Philip S. Griffin. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Philip S. Griffin. The network helps show where Philip S. Griffin may publish in the future.
Co-authorship network of co-authors of Philip S. Griffin
This figure shows the co-authorship network connecting the top 25 collaborators of Philip S. Griffin. A scholar is included among the top collaborators of Philip S. Griffin based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Philip S. Griffin. Philip S. Griffin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 12 | |
| 4 | 3 | |
| 5 | Path Decomposition of Ruinous Behaviour for a General Lévy Insurance Risk Process | 13 |
| 6 | 11 | |
| 7 | 2 | |
| 8 | 1 | |
| 9 | 1 | |
| 10 | Conditioned brownian motion in simply connected planar domains | 13 |
| 11 | 3 | |
| 12 | 21 | |
| 13 | 1 | |
| 14 | 25 | |
| 15 | 10 | |
| 16 | 66 | |
| 17 | 3 | |
| 18 | 23 | |
| 19 | 8 | |
| 20 | 4 |
About Philip S. Griffin
Philip S. Griffin is a scholar working on Mathematical Physics, Management Science and Operations Research and Statistics and Probability, having authored 46 papers that have together received 511 indexed citations. Recurring topics across this work include Probability and Risk Models (27 papers), Stochastic processes and statistical mechanics (25 papers) and Stochastic processes and financial applications (11 papers). The work is most often cited by research in Mathematical Physics (290 citations), Management Science and Operations Research (305 citations) and Statistics and Probability (179 citations). Philip S. Griffin has collaborated with scholars based in United States, Australia and Canada. Frequent co-authors include James Kuelbs, Ross Maller, William E. Pruitt, Terry R. McConnell, Richard F. Bass, David M. Mason, J. Theodore Cox, Harry Kesten, Alberto Gandolfi and Naresh C. Jain. Their work appears in journals such as Transactions of the American Mathematical Society, The Annals of Probability and Probability Theory and Related Fields.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.